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Forest monitoring data of 45 plots across the Japanese archipelago during 1980–2021.

  • Published In: Ecological Research, 2024, v. 39, n. 3. P. 391 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Yoshikawa, Tetsuro; Totsu, Kumiko; Takeuchi, Yayoi; Kadoya, Taku; Enoki, Tsutomu; Fujii, Sakae; Fukamachi, Atsuko S.; Hirota, Mitsuru; Hoshizaki, Kazuhiko; Iiyama, Naoki; Ishikawa, Yukio; Itô, Hiroki; Kobayashi, Hajime; Kohyama, Takashi S.; Konno, Yasuo; Makita, Akifumi; Mori, Akira S.; Nagamatsu, Dai; Nakashizuka, Tohru; Namikawa, Kanji 3 of 3

Abstract

Long‐term monitoring of forest tree communities is a basis for elucidating forest structure and dynamics and for evaluating ecosystem functions such as primary production. Because global climate change is changing forest ecosystems from the local to the global scale, it is essential to document long‐term monitoring data of forests to examine the temporal and geographical trends of forest changes. We report monitoring data of 45 forest plots (average area 0.69 ha; range 0.0325–6.25 ha) at 27 sites in Japan. These plots are situated within 32.38° N to 43.36° N and at elevations ranging from 8 to 2453 m above sea level. The forest plots include both old‐growth and secondary forests, and cover various forest biomes, such as warm‐temperate evergreen forests, temperate deciduous broadleaved forests, and boreal or sub‐alpine coniferous forests. In each plot, all living trees and lianas larger than a certain minimum size (typically 15 cm stem girth at breast height) were repeatedly measured and survival and recruitment of stems were recorded over 5–40 years (average 17.3 years). The data are presented in the format used by the Monitoring Sites 1000 Project in Japan (Ishihara et al. 2011, Ecological Research, 26, 1007–1008) and in the sample‐based Darwin Core format. This dataset expands existing open monitoring data for Japanese forests and thereby facilitates further meta‐analysis of forest community structures and changes in relation to climate change and other drivers. The complete data set for this abstract is available in electronic format in MetaCat in JaLTER at http://db.cger.nies.go.jp/JaLTER/metacat/metacat/ERDP-2024-03.1/jalter-en. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Ecological Research. 2024/05, Vol. 39, Issue 3, p391
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2024
  • ISSN:0912-3814
  • DOI:10.1111/1440-1703.12457
  • Accession Number:177320882
  • Copyright Statement:Copyright of Ecological Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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